NEUROFARM

The Offline Brain for Agriculture

Neuromorphic edge AI processors at the crop level — real-time decisions, near-zero energy, fully offline.

SOIL TEMP pH SNN SENSORS NEUROMORPHIC CHIP AUTONOMOUS GROWTH
The Challenge

Agriculture Has a Cloud Problem

The dominant paradigm of cloud-dependent precision agriculture introduces critical systemic vulnerabilities.

High Energy Consumption

Constantly transmitting gigabytes of sensor data to remote servers demands massive, continuous energy output — contradicting sustainability goals.

Severe Latency

Round-trip latency between field sensors and cloud servers makes real-time micro-climate management impossible. Crop stress escalates during the wait.

Connectivity Dependency

Rural and remote agricultural zones — where precision farming is most needed — frequently suffer from poor or no internet connectivity.

These are structural limitations of a paradigm built for urban, high-bandwidth environments — applied to rural, low-infrastructure contexts.

The Solution

Intelligence at the Edge

NeuroFarm brings the processor to the plant. By eliminating the cloud, we remove latency, energy overhead, and connectivity dependency in a single architectural shift.

<1 ms
Inference Latency
Instantaneous on-chip response
~mW
Power per Node
Ultra-low energy deployment
0%
Cloud Dependency
Fully offline, autonomous AI
Architecture

How It Works

NeuroFarm nodes operate as autonomous, closed-loop systems across four integrated layers.

STEP 01

Sensing Layer

Multimodal Sensor Array

Abiotic (soil, temperature, pH, humidity) + vision sensors for real-time environmental capture.

STEP 02

Processing Layer

Neuromorphic SNN Chip

BrainChip Akida-class architecture; event-driven, spike-based computation mimicking biological neurons.

STEP 03

Actuation Layer

Autonomous Control System

Triggers irrigation, micro-climate adjustment, or agronomist alerts without cloud round-trip.

STEP 04

Network Layer

Mesh / LoRa (Optional)

Peer-to-peer node communication for field-wide coordination — no internet required.

Why Neuromorphic? Why Now?

Orders-of-magnitude lower energy

Versus conventional neural networks, SNNs process sparse spike events instead of dense matrix multiplications.

Native temporal processing

Detects sudden soil pH shifts or temperature spikes in real time — perfectly suited for sensor data streams.

Milliwatt power budgets

Chips like Intel Loihi 2 and BrainChip Akida enable years of battery or solar-powered operation per node.

Opportunity

A Converging Market

Three high-growth markets driven by independent macro tailwinds: sustainable farming, edge AI, and neuromorphic computing.

Precision Agriculture CAGR ~14.5%
$8.5B (2024) $19.2B (2030)
Edge AI Hardware CAGR ~35%
$4.1B (2024) $24.7B (2030)
Neuromorphic Computing CAGR ~62%
$0.5B (2024) $9.8B (2030)

Key Market Drivers

EU Green Deal mandates requiring measurable reductions in agricultural water, fertilizer, and energy use
Rising demand for food security solutions in climate-stressed, infrastructure-poor regions
Rapid cost reduction in neuromorphic and low-power edge AI hardware
Growing institutional interest in deep-tech AgriTech as a strategic priority
Traction

Where We Are

VU
D-LAB
February 2026

VU Amsterdam Demonstrator Lab

Accepted into the prestigious VU Amsterdam D-Lab — a European deep-tech acceleration program providing world-class research infrastructure, mentorship networks, and a premier AgriTech ecosystem.

Currently in active prototyping and testing within the European deep-tech ecosystem.

Roadmap

What's Next

Q1–Q2 2026

Prototype Development & Lab Validation

SNN model training, hardware integration on neuromorphic chip, sensor fusion validation under controlled conditions.

Q3 2026

Field Pilot

Deployment of first NeuroFarm nodes in a partner agricultural environment; performance benchmarking vs. cloud-based alternatives.

Q4 2026

Commercial Partnerships & Series A

Formalise pilot outcomes, initiate strategic partnerships with AgriTech distributors, begin fundraising process.

2027+

Scale & Expand

Multi-region European rollout, hardware miniaturisation, and exploration of adjacent verticals.

Leadership

The Founders

Combined expertise spanning silicon-level AI engineering to pan-European go-to-market strategy.

TD

Tuna Deniz

Co-Founder & Technical Lead

Spiking Neural Network (SNN) Architecture, Neuromorphic Hardware Integration, Edge Computing

LinkedIn
CO

Cihan Ozturk

Co-Founder & Business Lead

Strategy, Operations, and European Market Expansion

LinkedIn
Contact

Get in Touch

Interested in NeuroFarm? Let's talk about the future of agriculture.

Location

Amsterdam, Netherlands

VU Amsterdam Demonstrator Lab

"The future of agriculture isn't just connected — it's conscious."

— NeuroFarm